Irem Boybat

5.9k citations

41 papers · 4.1k indexed · 5 hit papers · h-index 19

Electrical and Electronic Engineering top 0.5%
- Advanced Memory and Neural Computing 38
- Ferroelectric and Negative Capacitance Devices 25
- CCD and CMOS Imaging Sensors 5
Cellular and Molecular Neuroscience top 1%
- Neuroscience and Neural Engineering 4
Polymers and Plastics top 5%
Artificial Intelligence top 1%
- Neural Networks and Reservoir Computing 13
- Machine Learning and ELM 4
Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
Materials Chemistry
- Phase-change materials and chalcogenides 5

Co-authors: Abu Sebastian Manuel Le Gallo Geoffrey W. Burr R. M. Shelby Pritish Narayanan Severin Sidler S. R. Nandakumar Evangelos Eleftheriou
Cited by: Electrical and Electronic Engineering Cellular and Molecular Neuroscience Polymers and Plastics
Journals: Nature Communications (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)Scientific Reports (1 paper)
Partner nations: Switzerland United States United Kingdom

In The Last Decade

Irem Boybat

40 papers receiving 4.0k citations

Hit Papers

5 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2020 Repository for Publications and Research Data (ETH Zurich)
2018 Nature
2018 Nature Communications
2016 Advances in Physics X
2015 IEEE Transactions on Electron Devices

Peers

Countries citing papers authored by Irem Boybat

Since Specialization

Citations

This map shows the geographic impact of Irem Boybat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Irem Boybat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irem Boybat more than expected).

Fields of papers citing papers by Irem Boybat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irem Boybat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Irem Boybat. The network helps show where Irem Boybat may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Irem Boybat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irem Boybat Line = papers co-authored together Irem Boybat links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	LionHeart: A Layer-Based Mapping Framework for Heterogeneous Systems With Analog In-Memory Computing Tiles IEEE Transactions on Emerging Topics in Computing ·Corey Lammie,Eun Soo Nam,Sara Rouein,Lizhen Guan,Avery,Marina Zapater,Irem Boybat,Abu Sebastian,Giovanni Ansaloni,David Atienza	2025	1
2	CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory IEEE Transactions on Parallel and Distributed Systems ·William Simon,Irem Boybat,杉和郎,Xiao Dong Jia,Gagandeep Singh,Mohammed Alser,Shubham Jain,Hsinyu Tsai,Geoffrey W. Burr,Onur Mutlu,Abu Sebastian	2025	1
3	Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing Nature Computational Science ·Julian Büchel,Javier Rubio García-Mina,William Simon,Irem Boybat,Hsinyu Tsai,Geoffrey W. Burr,Hernan Castro,W. Verbauwhede,Manuel Le Gallo,Abbas Rahimi,Vijay Narayanan,Abu Sebastian	2025	3
4	Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics SHILAP Revista de lepidopterología ·Ani Topurua,B. Kortman,Irem Boybat,Xiao Dong Jia,Grasiela Torres,Roberto Ruiz de Austri,Johan Kwisthout,H. Hilgenkamp,Th. Rasing,Heike Riel,Abu Sebastian,S. Caron,Johan H. Mentink	2023	5
5	A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Shubham Jain,Hsinyu Tsai,Jivansh Ashpalia,R. Muralidhar,Irem Boybat,Martin M. Frank,Stanisław Woźniak,Miloš Stanisavljević,Praneet Adusumilli,Pritish Narayanan,Kohji Hosokawa,Masatoshi Ishii,Josette André,Vijay Narayanan,Geoffrey W. Burr	2022	28
6	A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Angelo Garofalo,Ye Tun Win,Francesco Conti,Geethan Karunaratne,Irem Boybat,Luca Benini,Davide Rossi	2022	26
7	ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning IEEE Transactions on Computers ·Lizhen Guan,Irem Boybat,Azlinda Erny Yunus,Martino Dazzi,Alexandre Levisse,Giovanni Ansaloni,Marina Zapater,Abu Sebastian,David Atienza	2022	7
8	ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator IEEE Micro ·Salem Zenia,Hiroyuki NARAHARA,Julian Büchel,Irem Boybat,Fatema Salim Rashid Al-Shibli,S. R. Nandakumar,Shidhartha Das,Abu Sebastian,Manuel Le Gallo,Paul N. Whatmough	2022	20
9	Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses Scientific Reports ·S. R. Nandakumar,Irem Boybat,Manuel Le Gallo,Evangelos Eleftheriou,Abu Sebastian,Bipin Rajendran	2020	57
10	Mixed-Precision Deep Learning Based on Computational Memory Frontiers in Neuroscience ·S. R. Nandakumar,Manuel Le Gallo,Christophe Piveteau,Vinay Joshi,Giovanni Mariani,Irem Boybat,Geethan Karunaratne,Riduan Khaddam-Aljameh,Urs Egger,Αναστάσιος Πετρόπουλος,Theodore Antonakopoulos,Bipin Rajendran,Abu Sebastian,Evangelos Eleftheriou	2020	76
11	Accurate deep neural network inference using computational phase-change memorybreakdown → Repository for Publications and Research Data (ETH Zurich) ·Vinay Joshi,Manuel Le Gallo,Nadhira Revi Amalina,Irem Boybat,S. R. Nandakumar,Christophe Piveteau,Martino Dazzi,Bipin Rajendran,Abu Sebastian,Evangelos Eleftheriou	2020	300
12	Deep learning acceleration based on in-memory computing IBM Journal of Research and Development ·Evangelos Eleftheriou,Manuel Le Gallo,S. R. Nandakumar,Christophe Piveteau,Irem Boybat,Vinay Joshi,Riduan Khaddam-Aljameh,Martino Dazzi,Carl C. G. Aminoff,Geethan Karunaratne,Benedikt Kersting,Miloš Stanisavljević,Vara Prasad Jonnalagadda,Nikolas Ioannou,Yue Ning,Pier Andrea Francese,Abu Sebastian	2019	25
13	Signal and noise extraction from analog memory elements for neuromorphic computing Nature Communications ·Nanbo Gong,Jacob Messakh,Seyoung Kim,Irem Boybat,Abu Sebastian,Vijay Narayanan,Takashi Ando	2018	86
14	Neuromorphic computing with multi-memristive synapsesbreakdown → Nature Communications ·Irem Boybat,Manuel Le Gallo,S. R. Nandakumar,Timoleon Moraitis,Thomas Parnell,Tomáš Tůma,Bipin Rajendran,Yusuf Leblebici,Abu Sebastian,Evangelos Eleftheriou	2018	637
15	A phase-change memory model for neuromorphic computing Journal of Applied Physics ·S. R. Nandakumar,Manuel Le Gallo,Irem Boybat,Bipin Rajendran,Abu Sebastian,Evangelos Eleftheriou	2018	118
16	Mixed-precision architecture based on computational memory for training deep neural networks Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·S. R. Nandakumar,Manuel Le Gallo,Irem Boybat,Bipin Rajendran,Abu Sebastian,Evangelos Eleftheriou	2018	44
17	Equivalent-accuracy accelerated neural-network training using analogue memorybreakdown → Nature ·Stefano Ambrogio,Pritish Narayanan,Hsinyu Tsai,R. M. Shelby,Irem Boybat,Carmelo di Nolfo,Severin Sidler,Massimo Giordano,Lauren M. Crawford,H. Mebarki,Benjamin D. Killeen,Natalia Martinez Schlurmann,Johannes Moerschner,Geoffrey W. Burr	2018	770
18	An efficient synaptic architecture for artificial neural networks Irem Boybat,Manuel Le Gallo,S. R. Nandakumar,Timoleon Moraitis,Tomáš Tůma,Bipin Rajendran,Yusuf Leblebici,Abu Sebastian,Evangelos Eleftheriou	2017	3
19	Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Elementbreakdown → IEEE Transactions on Electron Devices ·Geoffrey W. Burr,R. M. Shelby,Severin Sidler,Carmelo di Nolfo,Junwoo Jang,Irem Boybat,Rohit S. Shenoy,Pritish Narayanan,Kumar Virwani,Tracie Walker,B. N. Kurdi,Hyunsang Hwang	2015	741
20	PCM for Neuromorphic Applications: Impact of Device Characteristics on Neural Network Performance Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Irem Boybat,Severin Sidler,Carmelo di Nolfo,R. M. Shelby,Pritish Narayanan,Yusuf Leblebici,Geoffrey W. Burr	2015	1

About Irem Boybat

Irem Boybat is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Ferroelectric and Negative Capacitance Devices (25 papers), Neural Networks and Reservoir Computing (13 papers), Neural dynamics and brain function (6 papers), CCD and CMOS Imaging Sensors (5 papers), Phase-change materials and chalcogenides (5 papers), Machine Learning and ELM (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.9k citations), Cellular and Molecular Neuroscience (1.2k citations), Polymers and Plastics (447 citations), Artificial Intelligence (1.0k citations) and Cognitive Neuroscience (581 citations). Irem Boybat has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Abu Sebastian, Manuel Le Gallo, Geoffrey W. Burr, R. M. Shelby, Pritish Narayanan, Severin Sidler, S. R. Nandakumar, Evangelos Eleftheriou, Bipin Rajendran and Yusuf Leblebici. Their work appears in journals such as Nature Communications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Scientific Reports, Frontiers in Neuroscience and Nature Computational Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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